Solutions Engineer - Software Factory

Ford; Dearborn (MI); Hybrid; USD 86,600 - 144,900; Full time

Benefits offered by this job

Medical, dental, vision coverage

Family care leave

Tuition assistance

Vehicle discount program for employees

Job summary

The Software Factory in Product Creation and Industrialization delivers scalable software solutions to support technology platforms, programs, suppliers, and internal teams. The Work Management team enables frictionless planning, tracking, and delivery through highly integrated tools and workflows.

The Solutions Engineer is a hands-on platform engineer and solution architect who designs and delivers enterprise-grade solutions across the Atlassian ecosystem (Jira, Jira Service Management, Jira

Qualifications

• Bachelor's degree in Computer Science, AI or Machine Learning, or related technical field.
• 5+ years with Atlassian cloud tools (Jira, Confluence), including deep expertise in at least one of JSM, JPD, Assets/CMDB, or Goals/Projects; experience with governance, permissions, and automation at scale
• 5+ years integration engineering: REST APIs (GraphQL preferred), webhooks, events, sync patterns, error handling, monitoring and observability
• 3+ years scripting/automation: Python or JavaScript/TypeScript (Node.js); ability to build utilities/services for operations and data movement
• 3+ years hands-on AI enablement: Atlassian Intelligence/Rovo or similar, GitHub Copilot; knowledge of governance, prompt patterns, access controls, guardrails
• Enterprise identity/security: SSO/SAML, OAuth/OIDC, RBAC, least-privilege design
• Requirements/ALM exposure: experience with Jama, Polarion, or PTC Codebeamer; understanding of traceability

Responsibilities

• Take charge of designing solutions that tackle critical challenges for Product Creation and Industrialization leveraging the Atlassian platform (Jira, Confluence), while setting scalable standards and overseeing governance.
• Configure Jira/JSM/JPD/Assets elements, including workflows, schemes, automations, forms, and SLAs to optimize delivery and service outcomes.
• Manage Atlassian Cloud administration and its operating model, covering permissions, project and space provisioning, guardrails, audits, and maintaining platform hygiene.
• Develop and maintain integrations and extensions such as Forge apps, REST/GraphQL APIs, and webhooks/events, ensuring robust error handling, monitoring, and supportability.
• Launch AI-powered workflows (such as Atlassian Intelligence/Rovo, GitHub Copilot) by implementing practical governance including approved use cases, knowledge sources, access controls, and guardrails in partnership with our Enterprise Technology partners.

Skills

Architecting platforms

Platform integration

Automation scripting

AI governance

Security at scale

Stakeholder collaboration

Education

Bachelor's degree in CS/AI/ML

Master's degree in CS/AI/ML

Tools

Jira

Confluence

Jira Service Management

Jira Product Discovery

Assets/CMDB

Goals/Projects

Forge

REST/GraphQL APIs

Job description

The Software Factory in Product Creation and Industrialization delivers scalable software solutions to support technology platforms, programs, suppliers, and internal teams. The Work Management team enables frictionless planning, tracking, and delivery through highly integrated tools and workflows.

The Solutions Engineer is a hands-on platform engineer and solution architect who designs and delivers enterprise-grade solutions across the Atlassian ecosystem (Jira, Jira Service Management, Jira Product Discovery, Assets, Goals/Projects) and adjacent lifecycle tooling for requirements, code and testing.

• Take charge of designing solutions that tackle critical challenges for Product Creation and Industrialization leveraging the Atlassian platform (Jira, Confluence), while setting scalable standards and overseeing governance.
• Configure Jira/JSM/JPD/Assets elements, including workflows, schemes, automations, forms, and SLAs to optimize delivery and service outcomes.
• Manage Atlassian Cloud administration and its operating model, covering permissions, project and space provisioning, guardrails, audits, and maintaining platform hygiene.
• Develop and maintain integrations and extensions such as Forge apps, REST/GraphQL APIs, and webhooks/events, ensuring robust error handling, monitoring, and supportability.
• Launch AI-powered workflows (such as Atlassian Intelligence/Rovo, GitHub Copilot) by implementing practical governance including approved use cases, knowledge sources, access controls, and guardrails in partnership with our Enterprise Technology partners.

You'll have...

• Bachelors Degree in Computer Science, AI or Machine Learning, or related technical field.
• 5+ years with Atlassian cloud tools (Jira, Confluence), including deep expertise in at least one of JSM, JPD, Assets/CMDB, or Goals/Projects; experience with governance, permissions, and automation at scale
• 5+ years integration engineering: REST APIs (GraphQL preferred), webhooks, events, sync patterns, error handling, monitoring and observability
• 3+ years scripting/automation: Python or JavaScript/TypeScript (Node.js); ability to build utilities/services for operations and data movement
• 3+ years hands-on AI enablement: Atlassian Intelligence/Rovo or similar, GitHub Copilot; knowledge of governance, prompt patterns, access controls, guardrails
• Enterprise identity/security: SSO/SAML, OAuth/OIDC, RBAC, least-privilege design
• Requirements/ALM exposure: experience with Jama, Polarion, or PTC Codebeamer; understanding of traceability

Even better, you may have...

• Master's degree in Computer Science, AI/ML, or related technical field
• Experience with DX, Developer Intelligence Platform, configuring reports and supporting operations
• Experience in Atlassian Cloud migrations, scaling, and enterprise operating models
• JSM service management design and automation at scale
• Forge, app evaluation, Compass/GitHub, CI/CD integrations, developer portal/service catalog concepts
• Toolchain integration across requirements, delivery, service management, and reporting
• Data pipelines and analytics for work management via API extraction

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7 and ranges from $86,600-$144,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.